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NPL
1998
175views more  NPL 1998»
15 years 6 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas
187
Voted
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
15 years 1 months ago
Construction of Lyapunov functions for piecewise-deterministic Markov processes
The purpose of this contribution is twofold: 1) to present for the first time a Lyapunov function that proves exponential ergodicity of a process studied by the authors in [1], whe...
Alexandre R. Mesquita, João Pedro Hespanha
JMLR
2010
133views more  JMLR 2010»
15 years 1 months ago
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
Nicolò Cesa-Bianchi, Giorgio Valentini
ICASSP
2011
IEEE
14 years 10 months ago
Time-to-Onset latency in fMRI: Fast detection of delayed activation
A standard fMRI experiment is structured around the assumption that onset of relevant neural activity occurs almost immediately after external stimulus. Introducing deliberate len...
Victor Solo, Ben Cassidy, Christopher J. Long, Car...
CVPR
2012
IEEE
13 years 8 months ago
Robust object tracking via sparsity-based collaborative model
In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object tracking is to account for drastic appearance change, we ...
Wei Zhong, Huchuan Lu, Ming-Hsuan Yang